Study on Surface Temperature Characteristics of Chengdu Based on Multi-temporal Landsat Data

DOI

10.2991/seeie-19.2019.26How to use a DOI?

Keywords

land surface temperature; relevance; Socio-economic; the slow cooling zone; variability

Abstract

By studying the multi-year surface temperature (LST) phenomenon in the center area of Chengdu, the characteristics of surface temperature in the context of population (POP), gross domestic product (GDP), and building index (NDBI) reflecting the state of urban economic development are analyzed. The relationship between ground temperature and various factors, and the possible causes of the formation of geothermal phenomena. The exploratory regression, Ordinary Least Square model (OLS), Geographic Weighted Regression model (GWR), and frequency ratio method were used to evaluate the correlation and differentiation characteristics of the ground temperature and each factor after using the atmospheric correction method to obtain the ground temperature data. It is determined that there is a significant correlation between the variables and the LST, and the factors are dependability; The LST overall level showed a decreasing trend, The area of the high temperature area shows a growing trend, There are slow cooling zones in the study area; Different economic intensity ranges contribute to the slow temperature drop zone. The index of the "FR" that is quoted is quantified to give the degree of a slow cooling zone, which makes it more intuitive in the text. At the same time, GWR model supplemented the local masking of OLS model in correlation analysis and the model performs better.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tao Zhou
AU  - Rongshuang Fan
AU  - Congqiang Hou
AU  - Yuting Hou
PY  - 2019/05
DA  - 2019/05
TI  - Study on Surface Temperature Characteristics of Chengdu Based on Multi-temporal Landsat Data
BT  - Proceedings of the 2019 2nd International Conference on Sustainable Energy, Environment and Information Engineering (SEEIE 2019)
PB  - Atlantis Press
SP  - 110
EP  - 115
SN  - 2352-5401
UR  - https://doi.org/10.2991/seeie-19.2019.26
DO  - 10.2991/seeie-19.2019.26
ID  - Zhou2019/05
ER  -